Stochastic models of uncertainties in computational mechanics

Research directions in computational mechanics
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The mechanics of constitutive modeling
od: Ottosen, Niels Saabye
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Stochastic programming applications in finance, energy, planning and logistics /
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Modelling under risk and uncertainty an introduction to statistical, phenomenological and computational methods /
od: Rocquigny, Etienne de
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Some recent advances in mathematics and statistics
od: Chaubey, Yogendra P.
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Stochastic processes : inference theory /
od: Rao, M.M
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An introduction to stochastic filtering theory
od: Xiong, Jie
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Stochastic integration theory
od: Medvegyev, Péter
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Stochastic modelling in process technology
od: Dehling, Herold
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Stochastic control in insurance
od: Schmidli, Hanspeter
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Fundamentals of stochastic networks
od: Ibe, Oliver C. (Oliver Chukwudi), 1947-
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Stochastic systems in merging phase space
od: Koroli͡uk, V. S. (Vladimir Semenovich), 1925-
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Stochastic modelling of electricity and related markets
od: Benth, Fred Espen, 1969-
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Risk, uncertainty and the agricultural firm
od: Moss, Charles B. (Charles Britt)
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Stochastic optimization in continuous time
od: Chang, Fwu-Ranq, 1947-
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Infinite dimensional stochastic analysis in honor of Hui-Hsiung Kuo /
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Markov processes for stochastic modeling
od: Ibe, Oliver C.
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A course in monetary economics sequential trade, money, and uncertainty /
od: Eden, Benjamin
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An elementary introduction to stochastic interest rate modeling
od: Privault, Nicolas
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Simulation and inference for stochastic differential equations with r examples /
od: Iacus, Stefano M. (Stefano Maria)
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Dynamics of stochastic systems
od: Klyatskin, V. I.
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Recent development in stochastic dynamics and stochastic analysis
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Stochastic simulation and applications in finance with MATLAB programs
od: Huynh, Huu Tue
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Stochastic models for social processes /
od: Bartholomew, David J.
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Assessing the reliability of complex models mathematical and statistical foundations of verification, validation, and uncertainty quantification /
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Stochastic ordinary and stochastic partial differential equations transition from microscopic to macroscopic equations /
od: Kotelenez, P. (Peter), 1943-
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Stochastic processes
od: Medhi, J. (Jyotiprasad)
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Basic stochastic processes /
od: Devolder, Pierre, et al.
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Stochastic analysis classical and quantum : perspectives of white noise theory : Meiju University, Nagoya, Japan, 1-5 November 2004 /
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Stochastic reliability modeling, optimization and applications
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Introduction to stochastic analysis integrals and differential equations /
od: Mackevicius, Vigirdas
Izdano: (2011)

Modeling and pricing of swaps for financial and energy markets with stochastic volatilities
od: Svishchuk, A. V. (Anatoliĭ Vitalʹevich)
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Benefits of Bayesian network models /
od: Weber, Philippe, et al.
Izdano: (2016)

Risk analysis assessing uncertainties beyond expected values and probabilities /
od: Aven, T. (Terje)
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Semimartingales a course on stochastic processes /
od: Métivier, Michel, 1931-
Izdano: (1982)

Advanced stochastic models, risk assessment, and portfolio optimization the ideal risk, uncertainty, and performance measures /
od: Rachev, S. T. (Svetlozar Todorov)
Izdano: (2008)